Low Risk

get_feature_attribute

Get feature attribute schema/details. Args: workspace (str): Workspace. store_name (str): Store containing layer. featuretype (str): The layer or featuretype name. Returns: dict: Attribute info.

How to control get_feature_attribute ↓

What get_feature_attribute does on GeoServer MCP Server

AI agents call get_feature_attribute to retrieve information from GeoServer MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_feature_attribute needs a policy

This tool queries and retrieves feature attribute schema information from a GeoServer layer without creating, modifying, deleting, or executing any operations. It is a pure data retrieval operation with no side effects, fitting the Read category. Severity is low as misuse would only expose existing metadata about geospatial features, not enable destructive or financial harm.

From the tool's definition Tool name 'get_feature_attribute' and description 'Get feature attribute schema/details' indicate a retrieval operation with no modification. Returns 'Attribute info' - a read-only query of geospatial metadata.

Documented attack patterns abuse exactly the kind of access get_feature_attribute gives an agent:

How to control get_feature_attribute

PolicyLayer is an MCP gateway — it sits between your AI agents and GeoServer MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_feature_attribute:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_feature_attribute": {}
  }
}

get_feature_attribute is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GeoServer MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about get_feature_attribute

What does the get_feature_attribute tool do? +

Get feature attribute schema/details. Args: workspace (str): Workspace. store_name (str): Store containing layer. featuretype (str): The layer or featuretype name. Returns: dict: Attribute info. It is categorised as a Read tool in the GeoServer MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_feature_attribute? +

Register the GeoServer MCP Server MCP server in PolicyLayer and add a rule for get_feature_attribute: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GeoServer MCP Server. Nothing to install.

What risk level is get_feature_attribute? +

get_feature_attribute is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_feature_attribute? +

Yes. Add a rate_limit block to the get_feature_attribute rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_feature_attribute completely? +

Set action: deny in the PolicyLayer policy for get_feature_attribute. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_feature_attribute? +

get_feature_attribute is provided by the GeoServer MCP Server MCP server (mahdin75/geoserver-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GeoServer MCP Server tool call.

Start from GeoServer MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

56 GeoServer MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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